DEVELOPMENT... OpenML
Run
105427

Run 105427

Task 3640 (Supervised Classification) disclosure_x_bias Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.5001
Per class
Build CPU time
0.1675
Build memory
2452704451.7704
F measure
0.4961
Per class
Kappa
-0.006
KB relative information score
3.0322
Mean absolute error
0.497
Mean prior absolute error
0.4991
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4978
Per class
Predictive accuracy
0.5015
Prior entropy
0.9987
Recall
0.5015
Per class
Relative absolute error
0.9958
Root mean prior squared error
0.4996
Root mean squared error
0.5333
Root relative squared error
1.0675
SciMark benchmark
909.8271